Great, you are interested in contributing to the package.
To get acquainted with the code base, you can check out our issue tracker for some immediate and clearly defined tasks. For more involved contributions, please see our roadmap below. All submissions are required to follow this project-agnostic contribution guide
We aim for improvements to the grmpy package in four domains: Objects of Interest, Estimation Methods, and Numerical Methods.
- adding marginal surplus and marginal cost parameters as presented by
Eisenhauer2015
- implement polynomial and local-instrumental variable estimation as outlined by
HeUrVy06 - implementing capability to control for unobservables by adding a factor structure assumption as in
Eisenhauer2013
Add proper citation of my course manuscript
- refactoring code to incorporate elements of object-oriented programming
- exploring alternative optimization algorithms to address large estimation tasks